Abstract
Link flooding attack is a kind of attack based on the topology information of a network. Sophisticated attackers tend to conduct network reconnaissance before they launch effective attacks to infer key information about the whole network. Existing active defense methods against link flooding attacks either focus on protecting the key links within the network or safeguarding the key nodes with the simple degree centrality. This paper proposes a novel network topology obfuscation method called EigenObfu to protect the key nodes. Instead of using the degree centrality in existing defense methods, our eigenvector centrality-based EigenObfu comprehensively utilizes network topology information and better measures the importance of nodes in a network. EigenObfu is designed to output a secure obfuscated topology suitable for networks, regardless of their sizes, by hiding important nodes while maintaining connectivity and ensuring the protection of key nodes. We evaluate EigenObfu through several comparison experiments on nine different topologies. The results confirm the effectiveness of our method.
© 2024 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
© 2024 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
Original language | English |
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Pages (from-to) | 451-462 |
Journal | IEEE Transactions on Network Science and Engineering |
Volume | 12 |
Issue number | 1 |
Online published | 18 Nov 2024 |
DOIs | |
Publication status | Published - Jan 2025 |
Research Keywords
- Eigenvalue
- Key nodes
- Network topology
- Topology defense
- Topology obfuscation
Publisher's Copyright Statement
- COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Zhu, Z., Zhu, G., Zhang, Y., Shi, J., Huang, X., & Fang, Y. (2024). EigenObfu: A Novel Network Topology Obfuscation Defense Method. IEEE Transactions on Network Science and Engineering, 12(1), 451-462. https://doi.org/10.1109/TNSE.2024.3501396